Reinforcement learning (RL) is transforming the way robots interact with the world.
Unlike traditional programming or supervised learning, which depend on pre-defined rules or labeled datasets, RL enables robots to learn through trial and error – much like how humans and animals acquire new skills.
This approach is increasingly vital as robots are deployed in complex, unstructured environments where adaptability is key. [Read more…] about Reinforcement learning in robotics: Robots that learn from experience